TSP for VRP solution

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TSP for VRP solution w/ capacity constraint using Tabu Search Algorithm

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In this study, we propose a solution to the Vehicle Routing Problem (VRP) with Capacity Constraints using the Tabu Search Algorithm. The VRP is a well-known problem in logistics that involves finding the optimal route for a fleet of vehicles that need to visit a set of customers. Our solution involves using the Tabu Search Algorithm, which is a metaheuristic optimization method that has been successfully applied to a wide range of combinatorial optimization problems.

The Tabu Search Algorithm works by iteratively improving upon a candidate solution by making small modifications to it and evaluating the resulting solutions. However, to ensure that the algorithm does not get stuck in a local optimum, it employs a memory-based mechanism that avoids revisiting recently explored solutions. This memory-based mechanism is known as the Tabu List.

Our proposed solution involves using the Tabu Search Algorithm in combination with a capacity constraint to solve the VRP. The capacity constraint ensures that the vehicles do not exceed their maximum load capacity while making deliveries to the customers. By using the Tabu Search Algorithm and the capacity constraint, our proposed solution is able to find high-quality solutions to the VRP with capacity constraints.

In conclusion, our proposed solution of using the Tabu Search Algorithm for the VRP with Capacity Constraints is a promising approach that can be further explored and developed to improve logistics and supply chain operations.